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A leading technology company in Paris is seeking a Data Engineer to build sophisticated data pipelines utilizing tools like Spark and Flink. The ideal candidate should have a strong background in programming and experience with production systems. The role offers a hybrid workplace, promoting work-life harmony while valuing creativity and collaboration.
Paris, France
The Revenue Data Engineering Teams create the data processing pipelines that measure our customers’ usage across all Datadog products, providing vital insights to a broad variety of users and internal stakeholders. This group of teams is at the leading edge of any new product we release. As a Data Engineer you will work with Spark and big data tooling to build highly reliable, verifiably-accurate data processing pipelines for a large-scale mission-critical process. Each day we’re processing trillions of data points and petabytes of data to enable critical decision making processes for Datadog and our users.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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